Publication Date

1990

Document Type

Dissertation/Thesis

First Advisor

Bow, Sing-Tze, 1924-

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Image processing--Digital techniques; Springs (Mechanism)

Abstract

The goal of this research work is to design an efficient algorithm for the automatic structure analysis of the spring. The general procedure used in solving problems with the digital image processing technique. Namely: (1) Image preprocessing, (2) Image segmentation, (3) Image analysis, and (4) Image interpretation, are first reviewed, and then applied to the problem. Work reported in this thesis was mainly focused on the development of the algorithms specifically for the automatic analysis of a spring structure. The algorithms developed to solve the problems include: (1) Thresholding, (2) Contour tracing, (3) Locating the vertices and valleys of the contour, (4) Eliminating the wriggles on the contour, and (5) Calibrating the system with various zoom settings. Experiments were conducted. A large number of springs have been used as samples for the repeatability test to evaluate the effectiveness of the algorithm. Results show that the algorithm suggested is very efficient and successful. Repeatability of the algorithm is very good. The processing time is short. Although the work reported in this thesis is mainly for the off-line spring structure verification, the results obtained so far show that the approach can be extended to, and seem to be a very good start toward, the on-line spring structure verification processing.

Comments

Includes bibliographical references (pages 58-59)

Extent

vii, 93 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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